
<h1><span class="yiyi-st" id="yiyi-12">numpy.ediff1d</span></h1>
        <blockquote>
        <p>原文：<a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.ediff1d.html">https://docs.scipy.org/doc/numpy/reference/generated/numpy.ediff1d.html</a></p>
        <p>译者：<a href="https://github.com/wizardforcel">飞龙</a> <a href="http://usyiyi.cn/">UsyiyiCN</a></p>
        <p>校对：（虚位以待）</p>
        </blockquote>
    
<dl class="function">
<dt id="numpy.ediff1d"><span class="yiyi-st" id="yiyi-13"> <code class="descclassname">numpy.</code><code class="descname">ediff1d</code><span class="sig-paren">(</span><em>ary</em>, <em>to_end=None</em>, <em>to_begin=None</em><span class="sig-paren">)</span><a class="reference external" href="http://github.com/numpy/numpy/blob/v1.11.3/numpy/lib/arraysetops.py#L38-L94"><span class="viewcode-link">[source]</span></a></span></dt>
<dd><p><span class="yiyi-st" id="yiyi-14">数组的连续元素之间的差异。</span></p>
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<tr class="field-odd field"><th class="field-name"><span class="yiyi-st" id="yiyi-15">参数：</span></th><td class="field-body"><p class="first"><span class="yiyi-st" id="yiyi-16"><strong>ary</strong>：array_like</span></p>
<blockquote>
<div><p><span class="yiyi-st" id="yiyi-17">如果有必要，在采取差异之前将变平。</span></p>
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<p><span class="yiyi-st" id="yiyi-18"><strong>to_end</strong>：array_like，可选</span></p>
<blockquote>
<div><p><span class="yiyi-st" id="yiyi-19">在返回的差异末尾追加的数字。</span></p>
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<p><span class="yiyi-st" id="yiyi-20"><strong>to_begin</strong>：array_like，可选</span></p>
<blockquote>
<div><p><span class="yiyi-st" id="yiyi-21">在返回的差异开头添加的数字。</span></p>
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<tr class="field-even field"><th class="field-name"><span class="yiyi-st" id="yiyi-22">返回：</span></th><td class="field-body"><p class="first"><span class="yiyi-st" id="yiyi-23"><strong>ediff1d</strong>：ndarray</span></p>
<blockquote class="last">
<div><p><span class="yiyi-st" id="yiyi-24">差异。</span><span class="yiyi-st" id="yiyi-25">松动，这是<code class="docutils literal"><span class="pre">ary.flat [1：]</span> <span class="pre"> - </span> <span class="pre">ary.flat [： -  1]</span></code>。</span></p>
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<div class="admonition seealso">
<p class="first admonition-title"><span class="yiyi-st" id="yiyi-26">也可以看看</span></p>
<p class="last"><span class="yiyi-st" id="yiyi-27"><a class="reference internal" href="numpy.diff.html#numpy.diff" title="numpy.diff"><code class="xref py py-obj docutils literal"><span class="pre">diff</span></code></a>，<a class="reference internal" href="numpy.gradient.html#numpy.gradient" title="numpy.gradient"><code class="xref py py-obj docutils literal"><span class="pre">gradient</span></code></a></span></p>
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<p class="rubric"><span class="yiyi-st" id="yiyi-28">笔记</span></p>
<p><span class="yiyi-st" id="yiyi-29">当应用于屏蔽数组时，如果使用<em class="xref py py-obj">to_begin</em>和/或<em class="xref py py-obj">to_end</em>参数，此函数将删除屏蔽信息。</span></p>
<p class="rubric"><span class="yiyi-st" id="yiyi-30">例子</span></p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">7</span><span class="p">,</span> <span class="mi">0</span><span class="p">])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">ediff1d</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
<span class="go">array([ 1,  2,  3, -7])</span>
</pre></div>
</div>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">ediff1d</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">to_begin</span><span class="o">=-</span><span class="mi">99</span><span class="p">,</span> <span class="n">to_end</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">88</span><span class="p">,</span> <span class="mi">99</span><span class="p">]))</span>
<span class="go">array([-99,   1,   2,   3,  -7,  88,  99])</span>
</pre></div>
</div>
<p><span class="yiyi-st" id="yiyi-31">返回的数组始终为1D。</span></p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">y</span> <span class="o">=</span> <span class="p">[[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">4</span><span class="p">],</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="mi">24</span><span class="p">]]</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">ediff1d</span><span class="p">(</span><span class="n">y</span><span class="p">)</span>
<span class="go">array([ 1,  2, -3,  5, 18])</span>
</pre></div>
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</dd></dl>
